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Restricted external communication All interactions, both inward and outward, occur through a narrow interface In he most tractable case, the subsystem is communication-closed, never internally invoking methods on objects outside the subsystem Deterministic internal structure The concrete nature (and ideally, number) of all objects and threads comprising the subsystem are statically known The final and private keywords can be used to help enforce this In at least some such systems, you can in principle prove informally, formally, or even mechanically that no internal safety or liveness violations are possible within a closed component Or, if they are possible, you can continue to refine designs and implementations until a component is provably correct In the best cases, you can then apply this knowledge compositionally to analyze other parts of a system that rely on this component Perfect static information about objects, threads and interactions tells you not only what can happen, but also what cannot happen For example, it may be the case that, even though two synchronized methods in two objects contain calls to each other, they can never be accessed simultaneously by different threads within the subsystem, so deadlock will never occur Closure may also provide further opportunities for manual or compiler-driven optimization; for example removing synchronization from methods that would ordinarily require it, or employing clever special-purpose algorithms that can be made to apply only by eliminating the possibility of unwanted interaction Embedded systems are often composed as collections of closed modules, in part to improve predictability, schedulability, and related performance analyses While closed subsystems are tractable, they can also be brittle When the constraints and assumptions governing their internal structure change, these components are often thrown away and redeveloped from scratch 1342 Open systems An ideal open system is infinitely extensible, across several dimensions It may load unknown classes dynamically, allow subclasses to override just about any method, employ callbacks across objects within different subsystems, share common resources across threads, use reflection to discover and invoke methods on otherwise unknown objects, and so on Unbounded openness is usually as unattainable and undesirable as complete closedness: If everything can change, then you cannot program anything But most systems require at least some of this flexibility Full static analysis of open systems is not even possible since their nature and structure evolve across time Instead, open systems must rely on documented policies and protocols that every component adheres to The Internet is among the best examples of an open system It continually evolves, for example by adding new hosts, web pages, and services, requiring only that all participants obey a few network policies and protocols As with other open systems, adherence to Internet policies and protocols is sometimes difficult to enforce However, JVMs themselves arrange that non-conforming components cannot catastrophically damage system integrity Policy-driven design can work well at the much smaller level of typical concurrent systems, where policies and protocols often take the form of design rules Examples of policy domains explored in more depth in subsequent chapters include:.

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When compositionality is context-dependent, it is vital for intended usage contexts and restrictions surrounding components to be well understood and well documented When this information is not provided, use, reuse, maintenance, testing, configuration management, system evolution, and related software-engineering concerns are made much more difficult Documentation may be used to improve understandability by any of several audiences other developers using a class as a black-box component, subclass authors developers who later maintain, modify, or repair code, testers and code reviewers, and system users Across these audiences, the first goal is to eliminate the need for extensive documentation by minimizing the unexpected, and thus reducing conceptual complexity via: Standardization Using common policies, protocols, and interfaces For example: Using Barcode maker for Java Control to generate, create ANSI IM Code 39 image in Java applicationsRelated: Create EAN 128 VBNET , Excel Code 128 Generating , Generate EAN-13 VBNET.

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that is fully analogous to the role of the port number field in the transport-layer segment The protocol number is the "glue" that holds the network and transport layers together, whereas port number is the "glue" that holds the transport and application layers together We will see in 5 that the link layer frame also has a special field which glues the link layer to the network layer Header Checksum: The header checksum aids a router in detecting bit errors in a received IP datagram The header checksum is computed by treating each 2 bytes in the header as a number and summing these numbers using 1's complement arithmetic As discussed in Section 33, the 1's complement of this sum, known as the Internet checksum, is stored in the checksum field A router computes the Internet checksum for each received IP datagram and detects an error condition if the checksum carried in the datagram does not equal the computed checksum Routers typically discard datagrams for which an error has been detected Note that the checksum must be recomputed and restored at each router, as the TTL field, and possibly options fields as well, may change An interesting discussion of fast algorithms for computing the Internet checksum is [1071 A question often asked at this point is, why does TCP/IP perform error checking at both the transport and network layers There are many reasons for this First, routers are not required to perform error checking, so the transport layer cannot count on the network layer to do the job Second, TCP/ UDP and IP do not necessarily have to both belong to the same protocol stack TCP can, in principle, run over a different protocol (eg, ATM) and IP can carry data without passing through TCP/UDP (eg, RIP data) Source and Destination IP Address: These fields carry the 32 bit IP address of the source and final destination for this IP datagram The use and importance of the destination address is clear The source IP address (along with the source and destination port numbers) is used at the destination host to direct the application data in the proper socket Options: The optional options fields allows an IP header to be extended Header options were meant to be used rarely -- hence the decision to save overhead by not including the information in options fields in every datagram header However, the mere existence of options does complicate matters -- since datagram headers can be of variable length, one can not determine a priori where the data field will start Also, since some datagrams may require options processing and others may not, the amount of time needed to process a IP datagram can vary greatly These considerations become particularly important for IP processing in high performance routers and hosts For these reasons and others, IP options were dropped in the IPv6 header Data (payload): Finally, we come to the last, and most important field - the raison d' tre for the datagram in the first place! In most circumstances, the data field of the IP datagram contains the transport-layer segment (TCP or UDP) to be delivered to the destination However, the data field can carry other types of data, such ICMP messages (discusssed in Section 445) .

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